Good Identification, Meet Good Data

2019 ◽  
Author(s):  
Andrew Dillon ◽  
Dean Karlan ◽  
Christopher Udry ◽  
Jonathan Zinman
Keyword(s):  
Good Data ◽  
Good Identification

Good identification, meet good data

2020 ◽  
Vol 127 ◽  
pp. 104796 ◽  
Author(s):  
Andrew Dillon ◽  
Dean Karlan ◽  
Christopher Udry ◽  
Jonathan Zinman
Keyword(s):  
Good Data ◽  
Good Identification

Sentence Repetition: A Clinical Marker for Developmental Language Disorder in Danish

2019 ◽  
Vol 62 (12) ◽  
pp. 4450-4463
Author(s):  
Rikke Vang Christensen
Keyword(s):  
Language Disorder ◽  
Future Research ◽  
Typically Developing ◽  
Developmental Language Disorder ◽  
Older Children ◽  
Likelihood Ratios ◽  
Clinical Marker ◽  
Sentence Repetition ◽  
Good Identification ◽  
Syntactic Properties

Purpose The aim of the study was to explore the potential of performance on a Danish sentence repetition (SR) task—including specific morphological and syntactic properties—to identify difficulties in children with developmental language disorder (DLD) relative to typically developing (TD) children. Furthermore, the potential of the task as a clinical marker for Danish DLD was explored. Method SR performance of children with DLD aged 5;10–14;1 (years;months; n = 27) and TD children aged 5;3–13;4 ( n = 87) was investigated. Results Compared to TD same-age peers, children with DLD were less likely to repeat the sentences accurately but more likely to make ungrammatical errors with respect to verb inflection and use of determiners and personal pronouns. Younger children with DLD also produced more word order errors that their TD peers. Furthermore, older children with DLD performed less accurately than younger TD peers, indicating that the SR task taps into morphosyntactic areas of particular difficulty for Danish children with DLD. The classification accuracy associated with SR performance showed high levels of sensitivity and specificity (> 90%) and likelihood ratios indicating good identification potential for clinical and future research purposes. Conclusion SR performance has a strong potential for identifying children with DLD, also in Danish, and with a carefully designed SR task, performance has potential for revealing morphosyntactic difficulties. Supplemental Material https://doi.org/10.23641/asha.10314437

The need for good data

1998 ◽  
Author(s):  
Jill N. Reich
Keyword(s):  
Good Data

Good Data Collection

2020 ◽  
pp. 59-66
Author(s):  
Harry J. Foxwell
Keyword(s):  
Data Collection ◽  
Good Data

The Need for Good Data

2020 ◽  
pp. 1-9
Author(s):  
Harry J. Foxwell
Keyword(s):  
Good Data

A NEW GEARBOX FAULT DIAGNOSIS METHOD BASED ON LUCY–RICHARDSON DECONVOLUTION

2015 ◽  
Vol 39 (3) ◽  
pp. 593-603
Author(s):  
Xinghui Zhang ◽  
Jianshe Kang ◽  
Hongzhi Teng ◽  
Jianmin Zhao
Keyword(s):  
Fault Diagnosis ◽  
Experimental Studies ◽  
Experimental Tests ◽  
Rolling Element Bearings ◽  
Envelope Analysis ◽  
Rolling Element ◽  
Negative Effect ◽  
Diagnosis Method ◽  
Good Identification ◽  
Incipient Fault Diagnosis

Gear and bearing faults are the main causes of gearbox failure. Till now, incipient fault diagnosis of these two components has been a problem and needs further research. In this context, it is found that Lucy–Richardson deconvolution (LRD) proved to be an excellent tool to enhance fault diagnosis in rolling element bearings and gears. LRD’s good identification capabilities of fault frequencies are presented which outperform envelope analysis. This is very critical for early fault diagnosis. The case studies were carried out to evaluate the effectiveness of the proposed method. The results of simulated and experimental studies show that LRD is efficient in alleviating the negative effect of noise and transmission path. The results of simulation and experimental tests demonstrated outperformance of LRD compared to classical envelope analysis for fault diagnosis in rolling element bearings and gears, especially when it is applied to the processing of signals with strong background noise.

scholarly journals Just How Serious is Insider Trading? An evaluation using thoroughbred wagering markets

2013 ◽  
Vol 2 (3) ◽  
pp. 85-100
Author(s):  
Les Coleman
Keyword(s):  
Financial Markets ◽  
Insider Trading ◽  
Good Data ◽  
Betting Market ◽  
The University ◽  
Significant Support ◽  
Natural Laboratory

This paper quantifies the extent and changes in insider trading in the Melbourne racetrack betting market using a unique, long term dataset. Wagering markets share many of the characteristics of other financial markets, and are simple, with good data and a designated endpoint. Thus they are an excellent natural laboratory to study what is probably happening in qualitatively similar conventional markets. Results of this paper provide statistically significant support for hypotheses supporting the existence and increase in level of insider trading, and suggest that around two percent of betting is by insiders.Research for this paper was supported by a grant from the Economics and Commerce faculty at the University of Melbourne, and was conducted very efficiently by Andrew Saunderson. Dr Ian O’Connor provided excellent assistance with analysis of data. I am grateful for valuable comments from the Journal’s editor and an anonymous reviewer, and from delegates to the 2004 Australasian Finance and Banking Conference where an early version of this paper was presented. All remaining errors and omissions are mine.

scholarly journals Better data, better knowledge, better society: Developing an ideal homelessness data system drawing on lessons from global practice

2019 ◽  
Vol 4 (3) ◽  
Author(s):  
Ian Thomas ◽  
Peter Mackie
Keyword(s):  
Data Collection ◽  
Central Government ◽  
Service Providers ◽  
Data Access ◽  
Evidence Base ◽  
Data System ◽  
Policy And Practice ◽  
Good Data ◽  
Ideal System ◽  
Health And Social Care

The aim of this paper is to set out the principles of an ideal data system. Good data is crucial to effective policy and practice development in all social policy spheres and this is a particular challenge in the context of homelessness policy. Policy makers, practitioners and researchers have been highly critical of the current state of homelessness data across the globe, with concerns largely focused on the incompleteness of the data. Most research has narrowly focused on the strengths and weaknesses of different data collection techniques, such as Point-In-Time counts. However, good data does not only derive from the data collection method - consideration must also be given to the wider data system, including how data are generated, reported, analysed, and crucially, how they are made accessible and to who. The evidence base for the paper is a desk-based review of 49 data collection systems from 8 countries, including systems in health and social care settings—where data are being increasingly used to drive more effective care. The different systems are synthesised to generate 8 areas of design, being: data architecture, governance, data quality, ethical and legal, privacy/security, data access, and importantly, purpose. Drawing these elements together, the paper concludes that data collection should adopt a common data standard shared across the sector, enabling inter-organisational information sharing and improving collaboration; reporting to local and central government must not be one-sided, instead data providers should receive some tangible benefit for their engagement; the focus of analysis needs to shift from statistics toward evaluation into the effectiveness of interventions; and access must be available to a range of sector actors, including service providers and academia. Importantly, the paper also concludes that in delivering the ideal system, care must be taken not to interrupt the delivery of effective homelessness interventions.

scholarly journals Penerapan Metode MVC Framework Code Igniter untuk Sistem Informasi Administrasi Transaksi E-Commerce Perusahaan Aktualita

2021 ◽  
Vol 6 (1) ◽  
pp. 158
Author(s):  
Sunarto Usna ◽  
Andri Yanto ◽  
Soegijanto Soegijanto
Keyword(s):  
Data Collection ◽  
Data Processing ◽  
Administrative System ◽  
Research Activity ◽  
Good Data ◽  
Inaccurate Data ◽  
Long Time

Aktualita is one of the business activities engaged in the sale of stationery and printing located in South Jakarta. Activities related to promotions, data collection of goods, processing carried out do not yet have a standard database. Data processing takes a long time to produce information. The processing process contains errors in recording inaccurate data. Based on this information, the researchers tried to make a solution to these problems by creating a system in the form of a website using the CodeIgniter Framework. This research activity intends to find a solution with an administrative system for managing sales of goods transactions. The system built in this study uses a codeigniter framework. Making sales applications can be a solution to help make it easier for companies to actually manage goods data. Good data processing can make it easier to generate reports more quickly and accurately.

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